Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Big Data Analytics

Methodologies and Outcomes of Engineering and Technological Pedagogy
It is a process to analyze big data to uncover hidden, valid, and useful patterns and insights.
Published in Chapter:
Education in the Era of Industry 4.0: Qualifications, Challenges, and Opportunities
Dharmendra Trikamlal Patel (Charotar University of Science and Technology, India)
DOI: 10.4018/978-1-7998-2245-5.ch007
Abstract
Industry 4.0 has changed the thinking of industry owners in terms of technological usage. With the help of modern digital technology, industry can fulfill the requirements of customers easily and compete strongly against their competitors. In order to achieve good quality of products at an affordable price, industry needs skilled people who are aware of autonomous and intelligent components. To prepare skilled people compatible with Industry 4.0, education plays a very important role. The chapter starts with which kind of qualifications are needed to fit in the smart factory era. In next section, the chapter deals with challenges that emerge in education in order to implement skills suitable for Industry 4.0. Lastly, the chapter describes opportunities for the education sector as far as the smart factory is concerned.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Big Data Analytics for Business
The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized.
Full Text Chapter Download: US $37.50 Add to Cart
Insight Into Big Data Analytics: Challenges, Recent Trends, and Future Prospects
Big data analytics is the process of extracting useful patterns and correlations from huge data coming from various sources and in various formats.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics and Artificial Intelligence for Metaverse Practices in Business
The process of collecting, organizing, and analyzing large amounts of unstructured data, especially from digital spaces.
Full Text Chapter Download: US $37.50 Add to Cart
Using Big Data in Healthcare
The application of methods and algorithms in sets of big data in order to gain insights.
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
Big Data in Business: Digital Transformation for Enhanced Decision-making and Superior Customer Experience
Big data analytics is the use of advanced analytic techniques against these huge data sets. Big data analytics enables to uncover hidden patterns, correlations and other insights from huge data sets.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Computing and the Reference Architecture
It is the process of inspecting huge amount of varied data to uncover hidden patterns, unknown correlations and to extract valuable information using advanced analytic techniques and business intelligence tools.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics in E-Governance and Other Aspects of Society
Big data analytics is defined as the use of advanced analytical tools to gain insight into a large volume of diverse data sets. These datasets contain structured, semi-structured, and unstructured data from various sources.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics and Visualization of Performance of Stock Exchange Companies Based on Balanced Scorecard Indicators
Big Data Analytics is the process of inspecting, cleaning, transforming, and modeling Big Data to discover and communicate useful information and patterns, suggest conclusions and support decision making ( Cao, M. et al., 2015 ).
Full Text Chapter Download: US $37.50 Add to Cart
Human Resources Development for the Use of Big Data Analytics in the Customer Business of German Banks
Big Data Analytics describes the challenge of filtering out the relevant information from a huge deal of data with the right strategy.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics for Search Engine Optimization in Intelligent Business
Big data analytics is the difficult process of analyzing large amounts of data in order to reveal information such as hidden patterns, correlations, market trends, and customer preferences which can help businesses make more informed decisions.
Full Text Chapter Download: US $37.50 Add to Cart
AI-Driven Big Healthcare Analytics: Contributions and Challenges
A process of extracting useful information and pattern from big data.
Full Text Chapter Download: US $37.50 Add to Cart
Enhancing Online Repurchase Intention via Application of Big Data Analytics in E-Commerce
Big data analytics is the use of advanced techniques to analyze, process and examine big data to uncover hidden patterns, trends and relations in order to assist management decision making.
Full Text Chapter Download: US $37.50 Add to Cart
A Big Data Framework for Decision Making in Supply Chain
Analytics is the discovery, interpretation, and visualization of meaningful patterns in big data. In order to do this, analytics use data classification and clustering mechanisms.
Full Text Chapter Download: US $37.50 Add to Cart
Tax Authorities Big Data Analytics in Developing Countries: A Case Study of Indonesia
The process of uncovering trends, patterns and correlations in large amounts of unstructured raw data to help make data-informed decisions. These processes use familiar statistical analysis techniques, like clustering and regression and apply them to more extensive datasets with the help of newer tools.
Full Text Chapter Download: US $37.50 Add to Cart
Data Analytics in the Global Product Development Supply Chain
Analytics is the discovery, interpretation, and visualization of meaningful patterns in Big Data. In order to do this, analytics use data classification and clustering mechanisms.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics: Trends and Case Studies
The process of examining large volume of data of a variety of types to discover useful information.
Full Text Chapter Download: US $37.50 Add to Cart
Study of E-Commerce Customer Review Capturing Process in the Indian Context
Use of advanced analytic techniques against very voluminous, high velocity and diverse data sets that include structured, semi-structured and unstructured data, from different sources, and with varied sizes.
Full Text Chapter Download: US $37.50 Add to Cart
Taxonomy Outline of Big Data Analytics Literature
It is the process of analyzing big data to uncover the hidden patterns and facts for competitive advantage using Data Mining and Business Intelligence tools and techniques.
Full Text Chapter Download: US $37.50 Add to Cart
Avatar-Based Management Techniques for Breaking Down Language and Cultural Barriers in Modern Russian Corporations
The mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Cluster Analysis as a Decision-Making Tool
An analytics procedure to find knowledgeable value from data.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data and Analytics: Application to Healthcare Industry
Big data in analytics comprises of tools and techniques to get insight into the huge amount of data available for useful information.
Full Text Chapter Download: US $37.50 Add to Cart
Modeling Big Data Analytics with a Real-Time Executable Specification Language
Process of examining large data sets containing a variety of data types for specific patterns, correlations, market trends, customer preferences and other relevant information.
Full Text Chapter Download: US $37.50 Add to Cart
Quality Assurance Issues for Big Data Applications in Supply Chain Management
Analytics is the discovery, interpretation, and visualization of meaningful patterns in big data. To do this, analytics use data classification and clustering mechanisms.
Full Text Chapter Download: US $37.50 Add to Cart
Role of Data Science and Data Analytics in Forensic Accounting and Fraud Detection
Big data/analytics is defined as the capability of processing extremely large data sets to identify patterns of relationships (correlation, causality) among data to be used in detecting market trends, consumer behaviour and preferences.
Full Text Chapter Download: US $37.50 Add to Cart
Consequences in Acceptance and Application of Big Data Analytics in Micro, Small, and Medium Enterprises (MSMEs) in India
Big data analytics is a practice applied to obtain significant understandings, such as concealed patterns, unidentified correlations, market movements, and customer inclinations.
Full Text Chapter Download: US $37.50 Add to Cart
A Literature Review of Marketing Intelligence and Its Theoretical Implication for Leveraging Business
It encapsulates the process of identifying trends, patterns, and correlations within extensive volumes of raw data, ultimately facilitating data-driven decision-making.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics and IoT in Smart City Applications
Big data analytics is the often composite process of examining large and wide-ranging data sets, or big data, to come across information—such as concealed patterns, indefinite correlations, market development and client preferences—that can help organizations create informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
“Smart City”: The Concept of Resolving the Contradiction Between Production and Urban Life
The mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Leveraging Applications of Data Mining in Healthcare Using Big Data Analytics: An Overview
The platform to process and analyze scalable, fast-streaming, and multi-formatted data using MapReduce techniques and related technologies such as Hadoop and Spark and their associated eco systems.
Full Text Chapter Download: US $37.50 Add to Cart
Food Loss and Waste: A Sustainable Supply Chain Perspective
All the data processing and analysis techniques to examine large amounts of data in order to provide insights by uncovering hidden data structures (correlations, patterns) and to inform business decisions and public policies.
Full Text Chapter Download: US $37.50 Add to Cart
Efficiency Benchmarking Through Data Envelopment Analysis: Evaluating Disruptive Technologies in India's Key Sectors
The process of collecting, organizing, and analyzing large datasets to discover patterns, correlations, and other insights, typically using advanced computational methods and algorithms.
Full Text Chapter Download: US $37.50 Add to Cart
The Effectiveness of Big Data in Social Networks
The process of examining very large and diverse of data which can be used of advanced analytic techniques in an effort to uncover hidden patterns, unknown correlations and other useful information.
Full Text Chapter Download: US $37.50 Add to Cart
Applying Intelligent Big Data Analytics in a Smart Airport Business: Value, Adoption, and Challenges
Big data analytics is a science and technology about organizing big data, analyzing and discovering knowledge, patterns, and intelligence from big data, visualizing and reporting the discovered knowledge for assisting decision making (Sun, Sun, & Strang, 2016). The main components of big analytics include big data descriptive analytics, predictive analytics, and prescriptive analytics (Sun, Sun, & Strang, 2018), which correspondingly address the three questions of big data: when and what occurred? what will occur? and what is the best answer or choice under uncertainty? All these questions are often encountered in almost every part of science, technology, business, management, organization, and industry.
Full Text Chapter Download: US $37.50 Add to Cart
Digital Transformation: Impact of 5G Technology in Supply Chain Industry
Big data analytics is the often-complex process of analyzing voluminous amount of structured, semi structured and unstructured data that has the potential to be mined for information.
Full Text Chapter Download: US $37.50 Add to Cart
Blockchain Technology in the Automotive Industry: Use Cases and Statistical Evaluation
This refers to analysis of data clusters to gain business intelligence and determine logic and trends that exist in the data.
Full Text Chapter Download: US $37.50 Add to Cart
Sustainable Big Data Analytics Process Pipeline Using Apache Ecosystem
The usage of analytical tools to deal with large, diverse datasets, including structured, unstructured, and semi-structured data, from multiple data sources, and in efficient and effective transactional processes.
Full Text Chapter Download: US $37.50 Add to Cart
Enhancing Airport Business Services Using Big Data Analytics
Big data analytics is a science and technology about organizing big data, analyzing and discovering knowledge, patterns, and intelligence from big data, visualizing and reporting the discovered knowledge for assisting decision making (Sun, Sun, & Strang, 2016 AU74: The in-text citation "Sun, Sun, & Strang, 2016" is not in the reference list. Please correct the citation, add the reference to the list, or delete the citation. ). The main components of big analytics include big data descriptive analytics, predictive analytics, and prescriptive analytics ( Sun, Sun, & Strang, 2018 ), which correspondingly address the three questions of big data: when and what occurred? what will occur? and what is the best answer or choice under uncertainty? All these questions are often encountered in almost every part of science, technology, business, management, organization and industry.
Full Text Chapter Download: US $37.50 Add to Cart
Business Intelligence: Strengths, Weaknesses, and Opportunities
This refers to the capability to read and analyze volume of different data sets.
Full Text Chapter Download: US $37.50 Add to Cart
Taming the HiPPO (Highest Paid Person's Opinion) With Agile Metrics and Value Management
Big Data Analytics refers to the process of extracting valuable insights and knowledge from large sets of complex data using sophisticated analytical tools. It involves analyzing massive volumes of structured, unstructured, or semi-structured information generated by various sources.
Full Text Chapter Download: US $37.50 Add to Cart
Avatar-Based and Automated Testing System for Quality Control of Student Training: Using Neuron Natural and Artificial Technology Platform Triple H
Is the mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Integrated Data Architecture for Business
The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized.
Full Text Chapter Download: US $37.50 Add to Cart
Integration of Data Mining and Business Intelligence in Big Data Analytics: A Research Agenda on Scholarly Publications
Is the often complicated process of examining large and varied data sets, or big data, to uncover information—such as hidden patterns, unknown correlations, market trends, and customer preferences—that can help organizations make informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Management of Big Data Projects: PMI Approach for Success
Big data analytics is the process of analyzing big, complex and variable data.
Full Text Chapter Download: US $37.50 Add to Cart
Artificial Intelligence, Big Data, and Machine Learning in Industry 4.0
Advanced analytical tools which utilize analytic and parallel techniques in order to retrieve, process, examine, analyze and manage vast amounts of diverse digital data, information and statistics.
Full Text Chapter Download: US $37.50 Add to Cart
Integrated Data Architecture for Business
The process, techniques, and tools used to gain insights from Big Data so that the decision making process could be optimized.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Adoption: A Comparative Study of the Indian Manufacturing and Services Sectors
Full Text Chapter Download: US $37.50 Add to Cart
How Supply Chain Management Will Change in the Industry 4.0 Era?
Extracting meaningful information from huge amount of data that is collected from various sources and types.
Full Text Chapter Download: US $37.50 Add to Cart
Internet of Things and Big Data-Driven Data Analysis Services for Third Parties: Business Models, New Ventures, and Potential Horizons
The process of examining Big Data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics and the Discovery of the Hidden Data Treasure From Savings Banks in Germany
Big data analytics describes the challenge of filtering out the relevant information from a huge deal of data with the right strategy.
Full Text Chapter Download: US $37.50 Add to Cart
Evaluation of Strategic Opportunities and Resulting Business Models for SMEs: Employing IoT in Their Data-Driven Ecosystems
The process of examining big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0
Examines large amounts of data to uncover hidden patterns, correlations and other insights.
Full Text Chapter Download: US $37.50 Add to Cart
Avatar-Based Control and Development of Neuron Multi-Functional Platforms for Transformation Processes in the Digital Economy
Is the mathematical and software techniques for examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.
Full Text Chapter Download: US $37.50 Add to Cart
Sustainable Tourism's Tomorrow: Navigating the Future With Technological Innovations
Big data analytics refers to the analysis of large and complex datasets to discover patterns and insights for decision-making.
Full Text Chapter Download: US $37.50 Add to Cart
Intelligent Big Data Analytics in Health
Can be defined basically using analytics techniques on big data to explore worthful information. The analyzing of big data is pretty important for both prediction of future and decision making in all working areas.
Full Text Chapter Download: US $37.50 Add to Cart
Social Media Analytics: Opportunities and Challenges for Cultural Tourism Destinations
An approach to the analysis of large volumes of high velocity, complex and variable data from a multitude of sources that require advanced techniques and technologies.
Full Text Chapter Download: US $37.50 Add to Cart
Leveraging Big Data Analytics in the Healthcare Sector: A Look at Applications and Challenges
Big data analytics is the complex process of collecting, organizing, and analyzing large volumes of diverse data sets using advanced analytical techniques to explore hidden patterns.
Full Text Chapter Download: US $37.50 Add to Cart
Big Data Analytics Demystified
Big Data Analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information using advanced analytic techniques.
Full Text Chapter Download: US $37.50 Add to Cart
Financial Analytics With Big Data
A process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, etc.
Full Text Chapter Download: US $37.50 Add to Cart
Consumer Big Data Analytics: A Treasure for Businesses in the Socio-Digital Era
Is the often complex process of examining big data to uncover information such as hidden patterns, correlations, market trends and customer preferences.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR